Intelligent Digital Communications

Goals

To enhance spectrum utilization, enable improved use of smart devices (smartphones, tablets), and create intelligent mechanisms for debugging, monitoring, policing, and enhancing all types of wireless communications through the use of software defined radio techniques, machine learning, digital signal processing, and RF communication technologies.
Traditionally, wireless communications systems use dedicated hardware to implement the telecommunications coding, decoding, and signal analysis to create a useable data channel. As RF spectrum becomes increasingly scarce, and devices become more intelligent, using a software implementation and taking a cognitive systems approach to their design and operation will allow significantly increased flexibility in how spectrum is used and how smart devices interact.

Issues Involved or Addressed

Spectrum utilization and security in wireless channels, computation performance of software radios, identifying specific wireless devices in high density environments, multi-node software radio sensornets, distributed detection/estimation, reusability.

Partners/Sponsors

Georgia Tech Athletic Association, L3Harris Technologies, Cisco Systems

Methods and Technologies

  • Machine Learning
  • Software Defined Radios/Networks
  • Embedded Systems
  • Drones
  • Signal Processing and Communications
  • Cognitive Systems
  • FPGAs

Majors Sought

Business: IT Management, Strategy and Innovation

Computing: Computational Media, Computer Science, Computer Science – Online MS

Engineering: Analytics – Online MS, Computer Engineering, Electrical Engineering, Mechanical Engineering

Sciences: Mathematics

Preferred Interests and Preparation

EE, CmpE – Background/interest in networking, wireless communication, embedded systems, FPGAs, machine learning, or drones. Programming skills very helpful. CmpE, CS, CM – Background/interest in networks and communications, machine learning, embedded systems, or network/data security.
**Participation in sub-team meetings are mandatory**
Current  students: Please click here

Advisor

Edward Coyle
Edward Coyle
ejc@gatech.edu

Day, Time & Location

Full Team Meeting:
2:00-2:50 Friday
VL 461

Subteam meetings scheduled after classes begin.